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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-07-20 11:09:09</p>
            <p>spark.kmedoids.eval.sa.VaryT0 : -d gaussian_3_12_100000 -r Dropbox/eurecom-cluster/results/ -s 1000000000 -t 1000 -t 2000 -t 4000 -t 8000 -t 16000 -t 32000 -t 64000</p>
            <p>Iterations: 20</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.sa.VaryT0</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100481-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 12743</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1144.3498991954207</td>
                                                <td>37663</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1146.8813539964021</td>
                                                <td>33439</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1158.0521909552365</td>
                                                <td>33829</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1175.8643270545253</td>
                                                <td>30159</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1154.5344433613357</td>
                                                <td>29998</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1145.6865493448045</td>
                                                <td>31917</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1171.3511783390127</td>
                                                <td>30564</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1164.7728350873958</td>
                                                <td>29210</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1146.7072354276754</td>
                                                <td>29489</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1171.183553799999</td>
                                                <td>30567</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1138.8339710589248</td>
                                                <td>29528</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1139.9508592047196</td>
                                                <td>43558</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1164.967946943397</td>
                                                <td>33517</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1146.3152869961953</td>
                                                <td>24934</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1160.0373464536528</td>
                                                <td>27985</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1171.8903179587132</td>
                                                <td>28322</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1176.037539899211</td>
                                                <td>29601</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1140.5773753316541</td>
                                                <td>32938</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1158.951345505997</td>
                                                <td>28274</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>1000.0</td>
                                                    <td>1153.0494597978445</td>
                                                <td>29717</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1154.532168574954</td>
                                                <td>34393</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1177.4615625064623</td>
                                                <td>35437</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1160.2745717506925</td>
                                                <td>34072</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1155.3307850849772</td>
                                                <td>32874</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1161.5561587917573</td>
                                                <td>31325</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1172.7143342602044</td>
                                                <td>33124</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1159.3154633946199</td>
                                                <td>33000</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1155.0410609960716</td>
                                                <td>29494</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1137.4431242084584</td>
                                                <td>30775</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1176.0181130364122</td>
                                                <td>31497</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1151.6571657227296</td>
                                                <td>31326</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1158.5650812848703</td>
                                                <td>31647</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1164.8170621175454</td>
                                                <td>41970</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1160.0190018172832</td>
                                                <td>32303</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1166.2548503038508</td>
                                                <td>31393</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1156.3789704714532</td>
                                                <td>28118</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1166.739762477936</td>
                                                <td>28505</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1171.0571466610975</td>
                                                <td>31489</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1155.503158750717</td>
                                                <td>32684</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>2000.0</td>
                                                    <td>1160.4118385493186</td>
                                                <td>33614</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1165.1127030986897</td>
                                                <td>40919</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1167.1186549604224</td>
                                                <td>34908</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1168.4736754966643</td>
                                                <td>32470</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1169.6036729064997</td>
                                                <td>34765</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1168.8702134705572</td>
                                                <td>38161</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1151.7274755866385</td>
                                                <td>34426</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1160.8233597805465</td>
                                                <td>35025</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1148.0462011216252</td>
                                                <td>35311</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1150.6481765015394</td>
                                                <td>35241</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1162.654369252408</td>
                                                <td>32163</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1154.2979214678094</td>
                                                <td>32741</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1164.8561610788934</td>
                                                <td>33285</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1169.7318276850183</td>
                                                <td>35881</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1164.6586381038915</td>
                                                <td>33591</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1173.8941142680276</td>
                                                <td>30213</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1176.3257759005662</td>
                                                <td>35918</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1162.767566132033</td>
                                                <td>32815</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1154.5780992136856</td>
                                                <td>33351</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1161.1550580211483</td>
                                                <td>31867</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>4000.0</td>
                                                    <td>1162.205967831939</td>
                                                <td>30144</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1167.0695518761463</td>
                                                <td>36293</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1167.0707099612796</td>
                                                <td>35663</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1141.794712391602</td>
                                                <td>34077</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1172.8018589541396</td>
                                                <td>36229</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1176.6724178253548</td>
                                                <td>42869</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1169.488756677538</td>
                                                <td>41421</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1173.7136956839802</td>
                                                <td>37781</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1142.3488484743782</td>
                                                <td>35622</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1151.7522239168616</td>
                                                <td>35695</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1167.4160563271798</td>
                                                <td>35999</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1158.8919629369987</td>
                                                <td>35132</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1170.0213142784785</td>
                                                <td>33322</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1175.680700512043</td>
                                                <td>38002</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1168.6837558064508</td>
                                                <td>38776</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1170.0684644526968</td>
                                                <td>35309</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1159.8306828676791</td>
                                                <td>31956</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1143.561272924507</td>
                                                <td>31210</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1158.1932439977045</td>
                                                <td>37290</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1170.8382630551441</td>
                                                <td>36275</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>8000.0</td>
                                                    <td>1164.756844312493</td>
                                                <td>38430</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1162.325454133376</td>
                                                <td>40704</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1168.7180925530138</td>
                                                <td>42962</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1155.6065310752754</td>
                                                <td>38516</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1168.8011705389392</td>
                                                <td>36932</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1162.9851125039993</td>
                                                <td>36992</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1172.5634315194325</td>
                                                <td>37996</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1167.810007658234</td>
                                                <td>43541</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1173.8728627246348</td>
                                                <td>40565</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1163.2400378187485</td>
                                                <td>36139</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1160.3373445131524</td>
                                                <td>36244</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1163.0928637997047</td>
                                                <td>47831</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1170.19709935473</td>
                                                <td>37500</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1159.620954317578</td>
                                                <td>38069</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1161.9224220681322</td>
                                                <td>37531</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1178.8461309400768</td>
                                                <td>39396</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1174.7825822431237</td>
                                                <td>34836</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1176.1781043059198</td>
                                                <td>36041</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1173.5687733154834</td>
                                                <td>35266</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1157.9322567544957</td>
                                                <td>66079</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>16000.0</td>
                                                    <td>1152.8863385118361</td>
                                                <td>40660</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1171.2702799016733</td>
                                                <td>43579</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1169.9751619599203</td>
                                                <td>39419</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1155.149083810526</td>
                                                <td>40226</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1158.7502600636747</td>
                                                <td>40256</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1176.2063696198738</td>
                                                <td>41113</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1174.719800599036</td>
                                                <td>42343</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1169.1722979752656</td>
                                                <td>45268</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1170.2533693088285</td>
                                                <td>38467</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1157.5849441740777</td>
                                                <td>41659</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1161.8715224483342</td>
                                                <td>37992</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1164.4548386219926</td>
                                                <td>36925</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1166.1116333589966</td>
                                                <td>37959</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1164.9210088968086</td>
                                                <td>40180</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1172.809362853471</td>
                                                <td>40534</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1162.3951128751685</td>
                                                <td>44003</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1170.093310212838</td>
                                                <td>39330</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1149.8010732936903</td>
                                                <td>36988</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1166.8695858185454</td>
                                                <td>42975</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1154.3761231567564</td>
                                                <td>42168</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>32000.0</td>
                                                    <td>1164.9121114886032</td>
                                                <td>40657</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1159.5877203249743</td>
                                                <td>38821</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1161.0289327294197</td>
                                                <td>40149</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1158.937322469375</td>
                                                <td>46775</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1171.54221594067</td>
                                                <td>44530</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1168.9964267413864</td>
                                                <td>42561</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1165.2333179524053</td>
                                                <td>41081</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1160.9529610529346</td>
                                                <td>44112</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1175.9792722646841</td>
                                                <td>43379</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1170.1590776664507</td>
                                                <td>44902</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1171.9363531128984</td>
                                                <td>43022</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1168.4385561614492</td>
                                                <td>44279</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1157.5550515548498</td>
                                                <td>63439</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1157.201300240391</td>
                                                <td>40743</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1156.1566465918324</td>
                                                <td>35942</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1166.9966939007295</td>
                                                <td>44525</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1148.958411253791</td>
                                                <td>40762</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1165.4179224196275</td>
                                                <td>59154</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1160.231128703967</td>
                                                <td>44855</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1162.3639675482336</td>
                                                <td>40547</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.sa.VaryT0</td>
                        <td>64000.0</td>
                                                    <td>1155.0369393599956</td>
                                                <td>44073</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>1000.0</td>
                            <td>mean</td>
                                                            <td>1156.499750785606</td>
                                                        <td>31260.449999999997</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>1000.0</td>
                            <td>std dev</td>
                                                            <td>12.571393570563531</td>
                                                        <td>3970.0307499140554</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>1000.0</td>
                            <td>low</td>
                                                            <td>1150.6161574858074</td>
                                                        <td>29402.418415110136</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>1000.0</td>
                            <td>high</td>
                                                            <td>1162.3833440854046</td>
                                                        <td>33118.48158488986</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>2000.0</td>
                            <td>mean</td>
                                                            <td>1161.0545690380704</td>
                                                        <td>32452.000000000004</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>2000.0</td>
                            <td>std dev</td>
                                                            <td>9.24560658976279</td>
                                                        <td>2904.8238826947295</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>2000.0</td>
                            <td>low</td>
                                                            <td>1156.7274919579704</td>
                                                        <td>31092.50057478622</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>2000.0</td>
                            <td>high</td>
                                                            <td>1165.3816461181705</td>
                                                        <td>33811.499425213784</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>4000.0</td>
                            <td>mean</td>
                                                            <td>1162.87748159393</td>
                                                        <td>34159.75</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>4000.0</td>
                            <td>std dev</td>
                                                            <td>7.731620557147043</td>
                                                        <td>2527.301803879928</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>4000.0</td>
                            <td>low</td>
                                                            <td>1159.2589717882129</td>
                                                        <td>32976.93634641314</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>4000.0</td>
                            <td>high</td>
                                                            <td>1166.4959913996472</td>
                                                        <td>35342.56365358686</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>8000.0</td>
                            <td>mean</td>
                                                            <td>1163.5327668616328</td>
                                                        <td>36367.55</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>8000.0</td>
                            <td>std dev</td>
                                                            <td>10.940710605587078</td>
                                                        <td>2793.65475535279</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>8000.0</td>
                            <td>low</td>
                                                            <td>1158.4123566817468</td>
                                                        <td>35060.07932793138</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>8000.0</td>
                            <td>high</td>
                                                            <td>1168.6531770415188</td>
                                                        <td>37675.020672068626</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>16000.0</td>
                            <td>mean</td>
                                                            <td>1166.2643785324944</td>
                                                        <td>40190.0</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>16000.0</td>
                            <td>std dev</td>
                                                            <td>7.312397534809494</td>
                                                        <td>6875.448525082028</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>16000.0</td>
                            <td>low</td>
                                                            <td>1162.842071140734</td>
                                                        <td>36972.19103966301</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>16000.0</td>
                            <td>high</td>
                                                            <td>1169.6866859242548</td>
                                                        <td>43407.80896033699</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>32000.0</td>
                            <td>mean</td>
                                                            <td>1165.0848625219044</td>
                                                        <td>40602.04999999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>32000.0</td>
                            <td>std dev</td>
                                                            <td>7.15426928703842</td>
                                                        <td>2329.3913701358033</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>32000.0</td>
                            <td>low</td>
                                                            <td>1161.7365614281628</td>
                                                        <td>39511.86128058619</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>32000.0</td>
                            <td>high</td>
                                                            <td>1168.433163615646</td>
                                                        <td>41692.238719413785</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>64000.0</td>
                            <td>mean</td>
                                                            <td>1163.1355108995033</td>
                                                        <td>44382.55000000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>64000.0</td>
                            <td>std dev</td>
                                                            <td>6.803610587585287</td>
                                                        <td>6349.562583152356</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>64000.0</td>
                            <td>low</td>
                                                            <td>1159.9513231288422</td>
                                                        <td>41410.86323661982</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.sa.VaryT0</td>
                            <td>64000.0</td>
                            <td>high</td>
                                                            <td>1166.3196986701644</td>
                                                        <td>47354.2367633802</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 1000.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 2000.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 4000.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 8000.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 16000.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 32000.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 64000.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.sa.VaryT0</th>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.sa.VaryT0</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
        </div><!-- container -->
    </body>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.4.0/Chart.min.js"></script>
    <script>
        // Common stuff
        var datasets, title;
        var dynamicColor = function() {
            var r = Math.floor(Math.random() * 255);
            var g = Math.floor(Math.random() * 255);
            var b = Math.floor(Math.random() * 255);
            return "rgb(" + r + "," + g + "," + b + ")";
        };

                datasets = [{"label":"VaryT0","data":[{"x":1000.0,"y":1156.499750785606},{"x":2000.0,"y":1161.0545690380704},{"x":4000.0,"y":1162.87748159393},{"x":8000.0,"y":1163.5327668616328},{"x":16000.0,"y":1166.2643785324944},{"x":32000.0,"y":1165.0848625219044},{"x":64000.0,"y":1163.1355108995033}]}];
        title = "20170720110909 - r0";

        $.each(datasets, function(index, dataset) {
            var color = dynamicColor();
            dataset.pointBackgroundColor = color;
            dataset.pointBorderColor = color;
            dataset.borderColor = color;
            dataset.tension = 0;

        });

        new Chart($("#chart_0"), {
            type: 'line',
            data: {
                datasets: datasets
            },
            options: {
                title: {
                    display: true,
                    text: title
                },
                scales: {
                    xAxes: [{
                        type: 'linear',
                        position: 'bottom'
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            }
        });
        
        // Runtime
        datasets = [{"label":"VaryT0","data":[{"x":1000.0,"y":31260.449999999997},{"x":2000.0,"y":32452.000000000004},{"x":4000.0,"y":34159.75},{"x":8000.0,"y":36367.55},{"x":16000.0,"y":40190.0},{"x":32000.0,"y":40602.04999999999},{"x":64000.0,"y":44382.55000000001}]}];
        title = "20170720110909 - time";

        $.each(datasets, function(index, dataset) {
            var color = dynamicColor();
            dataset.pointBackgroundColor = color;
            dataset.pointBorderColor = color;
            dataset.borderColor = color;
            dataset.tension = 0;

        });

        new Chart($("#chart_time"), {
            type: 'line',
            data: {
                datasets: datasets
            },
            options: {
                title: {
                    display: true,
                    text: title
                },
                scales: {
                    xAxes: [{
                        type: 'linear',
                        position: 'bottom'
                    }]
                }
            }
        });
    </script>
</html>
